Mikael Kuusela
- Co-authors
- Violaine PellicheroPeter SutherlandLucie VignesJean‐Baptiste SalléeCamille AkhoudasEtienne PauthenetAlberto C. Naveira GarabatoSunke Schmidtko
- Topics
- Climate variability and models (9 papers)Oceanographic and Atmospheric Processes (8 papers)Gaussian Processes and Bayesian Inference (5 papers)
- Journals
- NatureSHILAP Revista de lepidopterologíaAtmospheric chemistry and physics
- Partner nations
- United StatesUnited KingdomFinland
In The Last Decade
Mikael Kuusela
21 papers receiving 281 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Oceanography 155
- Global and Planetary Change 95
- Atmospheric Science 67
- Artificial Intelligence 60
- Ecology 37
Countries citing papers authored by Mikael Kuusela
This map shows the geographic impact of Mikael Kuusela's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mikael Kuusela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikael Kuusela more than expected).
Fields of papers citing papers by Mikael Kuusela
This network shows the impact of papers produced by Mikael Kuusela. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mikael Kuusela. The network helps show where Mikael Kuusela may publish in the future.
Co-authorship network of co-authors of Mikael Kuusela
This figure shows the co-authorship network connecting the top 25 collaborators of Mikael Kuusela. A scholar is included among the top collaborators of Mikael Kuusela based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mikael Kuusela. Mikael Kuusela is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | Summertime increases in upper-ocean stratification and mixed-layer depthbreakdown → | 167 |
| 16 | 1 | |
| 17 | 1 | |
| 18 | The 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, June 10- 15, 2012 | 1 |
| 19 | 10 | |
| 20 | Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes | 48 |
About Mikael Kuusela
Mikael Kuusela is a scholar working on Oceanography, Statistics and Probability and Global and Planetary Change, having authored 25 papers that have together received 287 indexed citations. Recurring topics across this work include Climate variability and models (9 papers), Oceanographic and Atmospheric Processes (8 papers) and Gaussian Processes and Bayesian Inference (5 papers). The work is most often cited by research in Oceanography (155 citations), Global and Planetary Change (95 citations) and Atmospheric Science (67 citations). Mikael Kuusela has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Violaine Pellichero, Peter Sutherland, Lucie Vignes, Jean‐Baptiste Sallée, Camille Akhoudas, Etienne Pauthenet, Alberto C. Naveira Garabato, Sunke Schmidtko, Tapani Raiko and Juha Karhunen. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and Atmospheric chemistry and physics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.